docs: add installation and contribution information

README.md

@@ -6,31 +6,27 @@
 [![License](https://img.shields.io/pypi/l/erlab)](https://pypi.org/project/erlab/)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 
-Welcome to *ERLabPy*, a Python library designed to simplify and streamline the
-process of analyzing data from condensed matter physics experiments.
-
-This library provides a set of tools and utilities to handle, manipulate, and
-visualize data, with a focus on data from angle-resolved photoemission
-spectroscopy (ARPES) experiments.
+A library that provides a set of tools and utilities to handle, manipulate, and
+visualize data from condensed matter physics experiments, with a focus on
+angle-resolved photoemission spectroscopy (ARPES).
 
 *ERLabPy* is built on top of the popular scientific computing libraries `numpy`,
 `scipy`, and `xarray`, and is designed to be easy to use and integrate with
 existing scientific Python workflows. It is also designed to be extensible,
 allowing users to easily add custom functionality and analysis tools.
 
 *ERLabPy* is developed and maintained by the electronic structure research
-laboratory at Korea Advanced Institute of Science and Technology
-(KAIST).
+laboratory at Korea Advanced Institute of Science and Technology (KAIST).
 
 ## Features
 
 - **Data Loading**: A flexible and extensible data loading system is included,
   capable of handling various data formats.
-- **Data Manipulation**: A set of tools for manipulating and
-  transforming data, including interpolation, masking and symmetrization is provided.
-- **Plotting**: ERLabPy provides many different plotting functions for visualizing
-  image data, including 2D and 3D plots. Publication-quality plots can be
-  generated with minimal effort.
+- **Data Manipulation**: A set of tools for manipulating and transforming data,
+  including interpolation, masking and symmetrization is provided.
+- **Plotting**: ERLabPy provides many different plotting functions for
+  visualizing image data, including 2D and 3D plots. Publication-quality plots
+  can be generated with minimal effort.
 - **Fitting**: Several functions and models are implemented for fitting various
   types of data, including broadened Fermi-Dirac distributions, momentum
   distribution curves (MDCs), and energy distribution curves (EDCs).
@@ -51,28 +47,23 @@ Try enabling/disabling dark mode in your browser!
 
 ## Documentation
 
-The full documentation for ERLabPy is available at [Read the Docs](https://erlabpy.readthedocs.io/).
+The full documentation for ERLabPy is available on [Read the Docs](https://erlabpy.readthedocs.io/).
 
 ## Getting Started
 
 To get started with ERLab, follow the [installation instructions](https://erlabpy.readthedocs.io/en/stable/getting-started.html).
 
-Then, you can import the `erlab` module in your Python scripts and start analyzing your data.
-
-```python
-import erlab
-```
-
 ## Contributing
 
 Contributions are welcome! Please open an issue or pull request if you have any
-suggestions or improvements. For more information on contributing, see the [development guide](https://erlabpy.readthedocs.io/en/stable/development.html).
+suggestions or improvements. For more information on contributing, see the
+[development guide](https://erlabpy.readthedocs.io/en/stable/development.html).
 
 ## License
 
 This project is licensed under the terms of the [GPL-3.0 License](LICENSE).
 
 ## Contact
 
-If you have any questions, issues, or suggestions, please open an issue on this
-repository. We appreciate your feedback!
+If you have any questions, issues, or suggestions, please open an issue
+[here](https://github.com/kmnhan/erlabpy/issues). We appreciate your feedback!

docs/source/conf.py

@@ -22,7 +22,7 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 
 
-project = "ERLabPy"
+project = "ERLab"
 copyright = "2023, Kimoon Han"
 author = "Kimoon Han"
 release = importlib.metadata.version("erlab")